CVD Outcomes Exploratory Data Analysis

Dataset statistics

Number of variables	35
Number of observations	5802
Missing cells	84707
Missing cells (%)	41.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	280.0 B

Variable types

Numeric	22
Categorical	13

Warnings

`mi_death` has constant value "0.0"	Constant
`vital` is highly correlated with `cvd_death`	High correlation
`prev_mi` is highly correlated with `prev_mip`	High correlation
`prev_mip` is highly correlated with `prev_mi`	High correlation
`mi` is highly correlated with `mip` and 1 other fields	High correlation
`mip` is highly correlated with `mi` and 4 other fields	High correlation
`chd_death` is highly correlated with `cvd_death` and 1 other fields	High correlation
`cvd_death` is highly correlated with `vital` and 1 other fields	High correlation
`revasc_proc` is highly correlated with `mip` and 3 other fields	High correlation
`ptca` is highly correlated with `mip` and 1 other fields	High correlation
`cabg` is highly correlated with `revasc_proc`	High correlation
`any_chd` is highly correlated with `mi` and 4 other fields	High correlation
`any_cvd` is highly correlated with `mip` and 1 other fields	High correlation
`prev_revpro` is highly correlated with `prev_ang`	High correlation
`prev_ang` is highly correlated with `prev_revpro`	High correlation
`mi_date` is highly correlated with `mip_date` and 8 other fields	High correlation
`mip_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`stk_date` is highly correlated with `mi_date` and 4 other fields	High correlation
`chd_dthdt` is highly correlated with `mi_date` and 5 other fields	High correlation
`cvd_dthdt` is highly correlated with `mi_date` and 4 other fields	High correlation
`ang_date` is highly correlated with `mi_date` and 7 other fields	High correlation
`revpro_date` is highly correlated with `mi_date` and 5 other fields	High correlation
`ptca_date` is highly correlated with `mi_date` and 3 other fields	High correlation
`cabg_date` is highly correlated with `mi_date` and 4 other fields	High correlation
`chf_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`vital` is highly correlated with `cvd_death`	High correlation
`prev_mi` is highly correlated with `prev_mip`	High correlation
`prev_mip` is highly correlated with `prev_mi` and 2 other fields	High correlation
`mi` is highly correlated with `mip` and 1 other fields	High correlation
`mip` is highly correlated with `mi` and 5 other fields	High correlation
`chd_death` is highly correlated with `cvd_death` and 1 other fields	High correlation
`cvd_death` is highly correlated with `vital` and 1 other fields	High correlation
`revasc_proc` is highly correlated with `mip` and 4 other fields	High correlation
`ptca` is highly correlated with `mip` and 2 other fields	High correlation
`cabg` is highly correlated with `mip` and 1 other fields	High correlation
`chf` is highly correlated with `any_cvd`	High correlation
`any_chd` is highly correlated with `mi` and 5 other fields	High correlation
`any_cvd` is highly correlated with `mip` and 3 other fields	High correlation
`prev_revpro` is highly correlated with `prev_mip` and 1 other fields	High correlation
`prev_ang` is highly correlated with `prev_mip` and 1 other fields	High correlation
`mi_date` is highly correlated with `mip_date` and 8 other fields	High correlation
`mip_date` is highly correlated with `mi_date` and 5 other fields	High correlation
`stk_date` is highly correlated with `mi_date` and 2 other fields	High correlation
`chd_dthdt` is highly correlated with `mi_date` and 5 other fields	High correlation
`cvd_dthdt` is highly correlated with `mi_date` and 4 other fields	High correlation
`ang_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`revpro_date` is highly correlated with `mi_date` and 4 other fields	High correlation
`ptca_date` is highly correlated with `mi_date` and 3 other fields	High correlation
`cabg_date` is highly correlated with `mi_date` and 4 other fields	High correlation
`chf_date` is highly correlated with `mi_date` and 5 other fields	High correlation
`nsrrid` is highly correlated with `vital` and 22 other fields	High correlation
`vital` is highly correlated with `nsrrid` and 23 other fields	High correlation
`prev_mi` is highly correlated with `nsrrid` and 22 other fields	High correlation
`prev_mip` is highly correlated with `nsrrid` and 23 other fields	High correlation
`prev_stk` is highly correlated with `nsrrid` and 22 other fields	High correlation
`mi` is highly correlated with `nsrrid` and 22 other fields	High correlation
`mip` is highly correlated with `nsrrid` and 21 other fields	High correlation
`mi_fatal` is highly correlated with `nsrrid` and 23 other fields	High correlation
`stroke` is highly correlated with `nsrrid` and 21 other fields	High correlation
`stk_fatal` is highly correlated with `nsrrid` and 23 other fields	High correlation
`chd_death` is highly correlated with `nsrrid` and 21 other fields	High correlation
`cvd_death` is highly correlated with `nsrrid` and 23 other fields	High correlation
`angina` is highly correlated with `vital` and 16 other fields	High correlation
`revasc_proc` is highly correlated with `nsrrid` and 22 other fields	High correlation
`ptca` is highly correlated with `nsrrid` and 23 other fields	High correlation
`cabg` is highly correlated with `nsrrid` and 23 other fields	High correlation
`chf` is highly correlated with `nsrrid` and 22 other fields	High correlation
`prev_chf` is highly correlated with `nsrrid` and 23 other fields	High correlation
`any_chd` is highly correlated with `nsrrid` and 22 other fields	High correlation
`any_cvd` is highly correlated with `nsrrid` and 17 other fields	High correlation
`prev_revpro` is highly correlated with `nsrrid` and 23 other fields	High correlation
`mi_death` is highly correlated with `nsrrid` and 23 other fields	High correlation
`prev_ang` is highly correlated with `nsrrid` and 23 other fields	High correlation
`mi_date` is highly correlated with `mip_date` and 8 other fields	High correlation
`mip_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`stk_date` is highly correlated with `cvd_dthdt` and 2 other fields	High correlation
`chd_dthdt` is highly correlated with `mi_date` and 4 other fields	High correlation
`cvd_dthdt` is highly correlated with `stk_date` and 3 other fields	High correlation
`ang_date` is highly correlated with `mi_date` and 5 other fields	High correlation
`revpro_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`ptca_date` is highly correlated with `mi_date` and 5 other fields	High correlation
`cabg_date` is highly correlated with `mi_date` and 6 other fields	High correlation
`chf_date` is highly correlated with `mi_date` and 3 other fields	High correlation
`afibprevalent` is highly correlated with `nsrrid` and 33 other fields	High correlation
`afibincident` is highly correlated with `nsrrid` and 33 other fields	High correlation
`chd_death` is highly correlated with `vital` and 4 other fields	High correlation
`chf_date` is highly correlated with `mi_date` and 7 other fields	High correlation
`stk_date` is highly correlated with `cvd_dthdt` and 3 other fields	High correlation
`mi_date` is highly correlated with `chf_date` and 7 other fields	High correlation
`prev_chf` is highly correlated with `prev_stk`	High correlation
`nsrrid` is highly correlated with `angina` and 1 other fields	High correlation
`chd_dthdt` is highly correlated with `chf_date` and 5 other fields	High correlation
`revpro_date` is highly correlated with `chf_date` and 6 other fields	High correlation
`ptca` is highly correlated with `any_cvd` and 3 other fields	High correlation
`cvd_dthdt` is highly correlated with `chf_date` and 5 other fields	High correlation
`prev_mip` is highly correlated with `prev_mi` and 1 other fields	High correlation
`vital` is highly correlated with `chd_death` and 2 other fields	High correlation
`mip_date` is highly correlated with `chf_date` and 6 other fields	High correlation
`mi` is highly correlated with `mip` and 1 other fields	High correlation
`prev_mi` is highly correlated with `prev_mip` and 1 other fields	High correlation
`any_cvd` is highly correlated with `chd_death` and 6 other fields	High correlation
`prev_ang` is highly correlated with `prev_revpro` and 1 other fields	High correlation
`prev_stk` is highly correlated with `prev_chf`	High correlation
`prev_revpro` is highly correlated with `prev_ang` and 1 other fields	High correlation
`chf` is highly correlated with `prev_mip` and 1 other fields	High correlation
`ptca_date` is highly correlated with `chf_date` and 8 other fields	High correlation
`mip` is highly correlated with `ptca` and 4 other fields	High correlation
`cabg` is highly correlated with `revasc_proc`	High correlation
`mi_fatal` is highly correlated with `chd_death` and 1 other fields	High correlation
`revasc_proc` is highly correlated with `ptca` and 4 other fields	High correlation
`cabg_date` is highly correlated with `chf_date` and 6 other fields	High correlation
`cvd_death` is highly correlated with `chd_death` and 4 other fields	High correlation
`angina` is highly correlated with `nsrrid` and 2 other fields	High correlation
`any_chd` is highly correlated with `chd_death` and 6 other fields	High correlation
`ang_date` is highly correlated with `chf_date` and 5 other fields	High correlation
`afibincident` is highly correlated with `nsrrid`	High correlation
`vital` is highly correlated with `cvd_death` and 1 other fields	High correlation
`mi` is highly correlated with `any_chd` and 1 other fields	High correlation
`cabg` is highly correlated with `mi_death`	High correlation
`mi_fatal` is highly correlated with `mi_death`	High correlation
`prev_revpro` is highly correlated with `mi_death`	High correlation
`chd_death` is highly correlated with `cvd_death` and 2 other fields	High correlation
`any_cvd` is highly correlated with `any_chd` and 1 other fields	High correlation
`cvd_death` is highly correlated with `vital` and 2 other fields	High correlation
`stk_fatal` is highly correlated with `mi_death`	High correlation
`afibprevalent` is highly correlated with `mi_death` and 1 other fields	High correlation
`any_chd` is highly correlated with `mi` and 3 other fields	High correlation
`mi_death` is highly correlated with `vital` and 11 other fields	High correlation
`afibincident` is highly correlated with `afibprevalent` and 1 other fields	High correlation
`prev_mi` has 760 (13.1%) missing values	Missing
`prev_mip` has 760 (13.1%) missing values	Missing
`prev_stk` has 760 (13.1%) missing values	Missing
`mi` has 760 (13.1%) missing values	Missing
`mip` has 760 (13.1%) missing values	Missing
`mi_fatal` has 760 (13.1%) missing values	Missing
`stroke` has 760 (13.1%) missing values	Missing
`stk_fatal` has 760 (13.1%) missing values	Missing
`chd_death` has 760 (13.1%) missing values	Missing
`cvd_death` has 760 (13.1%) missing values	Missing
`angina` has 760 (13.1%) missing values	Missing
`revasc_proc` has 760 (13.1%) missing values	Missing
`ptca` has 760 (13.1%) missing values	Missing
`cabg` has 760 (13.1%) missing values	Missing
`chf` has 760 (13.1%) missing values	Missing
`prev_chf` has 760 (13.1%) missing values	Missing
`any_chd` has 760 (13.1%) missing values	Missing
`any_cvd` has 760 (13.1%) missing values	Missing
`prev_revpro` has 2658 (45.8%) missing values	Missing
`mi_death` has 4573 (78.8%) missing values	Missing
`prev_ang` has 3586 (61.8%) missing values	Missing
`mi_date` has 5442 (93.8%) missing values	Missing
`mip_date` has 5447 (93.9%) missing values	Missing
`stk_date` has 5515 (95.1%) missing values	Missing
`chd_dthdt` has 5570 (96.0%) missing values	Missing
`cvd_dthdt` has 5447 (93.9%) missing values	Missing
`ang_date` has 5442 (93.8%) missing values	Missing
`revpro_date` has 5309 (91.5%) missing values	Missing
`ptca_date` has 5491 (94.6%) missing values	Missing
`cabg_date` has 5585 (96.3%) missing values	Missing
`chf_date` has 5184 (89.3%) missing values	Missing
`afibprevalent` has 2866 (49.4%) missing values	Missing
`afibincident` has 2912 (50.2%) missing values	Missing
`prev_stk` is highly skewed (γ1 = 21.26554203)	Skewed
`nsrrid` is uniformly distributed	Uniform
`nsrrid` has unique values	Unique
`prev_mi` has 4701 (81.0%) zeros	Zeros
`prev_mip` has 4641 (80.0%) zeros	Zeros
`prev_stk` has 4889 (84.3%) zeros	Zeros
`mip` has 4327 (74.6%) zeros	Zeros
`stroke` has 4755 (82.0%) zeros	Zeros
`angina` has 2842 (49.0%) zeros	Zeros
`revasc_proc` has 4549 (78.4%) zeros	Zeros
`ptca` has 4731 (81.5%) zeros	Zeros
`chf` has 4424 (76.2%) zeros	Zeros
`prev_chf` has 4902 (84.5%) zeros	Zeros
`prev_ang` has 2004 (34.5%) zeros	Zeros

Reproduction

Analysis started	2021-09-08 00:35:50.389947
Analysis finished	2021-09-08 00:36:50.378245
Duration	59.99 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

nsrrid
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	5802
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	202901.8606

Minimum	200001
Maximum	205804
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	200001
5-th percentile	200291.05
Q1	201451.25
median	202901.5
Q3	204351.75
95-th percentile	205513.95
Maximum	205804
Range	5803
Interquartile range (IQR)	2900.5

Descriptive statistics

Standard deviation	1675.54929
Coefficient of variation (CV)	0.00825792965
Kurtosis	-1.199617301
Mean	202901.8606
Median Absolute Deviation (MAD)	1450.5
Skewness	0.000676325358
Sum	1177236595
Variance	2807465.425
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200001	1	< 0.1%
203875	1	< 0.1%
203873	1	< 0.1%
203872	1	< 0.1%
203871	1	< 0.1%
203870	1	< 0.1%
203869	1	< 0.1%
203868	1	< 0.1%
203867	1	< 0.1%
203866	1	< 0.1%
Other values (5792)	5792	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
200001	1	< 0.1%
200002	1	< 0.1%
200003	1	< 0.1%
200004	1	< 0.1%
200005	1	< 0.1%
200006	1	< 0.1%
200007	1	< 0.1%
200008	1	< 0.1%
200009	1	< 0.1%
200010	1	< 0.1%

Value	Count	Frequency (%)
205804	1	< 0.1%
205803	1	< 0.1%
205802	1	< 0.1%
205801	1	< 0.1%
205800	1	< 0.1%
205799	1	< 0.1%
205798	1	< 0.1%
205797	1	< 0.1%
205796	1	< 0.1%
205795	1	< 0.1%

vital
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	328.8 KiB

1	4497
0	1305

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5802
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

Most occurring characters

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5802	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5802	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5802	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4497	77.5%
0	1305	22.5%

prev_mi
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	17
Distinct (%)	0.3%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.1477588259

Minimum	0
Maximum	22
Zeros	4701
Zeros (%)	81.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	22
Range	22
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9356311287
Coefficient of variation (CV)	6.332150538
Kurtosis	182.7625527
Mean	0.1477588259
Median Absolute Deviation (MAD)	0
Skewness	11.95199306
Sum	745
Variance	0.875405609
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	4701	81.0%
1	256	4.4%
2	18	0.3%
3	17	0.3%
5	14	0.2%
8	9	0.2%
6	6	0.1%
4	4	0.1%
10	3	0.1%
7	3	0.1%
Other values (7)	11	0.2%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4701	81.0%
1	256	4.4%
2	18	0.3%
3	17	0.3%
4	4	0.1%
5	14	0.2%
6	6	0.1%
7	3	0.1%
8	9	0.2%
9	2	< 0.1%

Value	Count	Frequency (%)
22	1	< 0.1%
17	2	< 0.1%
16	1	< 0.1%
15	2	< 0.1%
13	2	< 0.1%
11	1	< 0.1%
10	3	0.1%
9	2	< 0.1%
8	9	0.2%
7	3	0.1%

prev_mip
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	18
Distinct (%)	0.4%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.1743355811

Minimum	0
Maximum	22
Zeros	4641
Zeros (%)	80.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	22
Range	22
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9828684327
Coefficient of variation (CV)	5.637795947
Kurtosis	154.432757
Mean	0.1743355811
Median Absolute Deviation (MAD)	0
Skewness	10.87597188
Sum	879
Variance	0.9660303559
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	4641	80.0%
1	272	4.7%
2	56	1.0%
3	15	0.3%
5	13	0.2%
4	9	0.2%
8	8	0.1%
6	7	0.1%
7	5	0.1%
9	3	0.1%
Other values (8)	13	0.2%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4641	80.0%
1	272	4.7%
2	56	1.0%
3	15	0.3%
4	9	0.2%
5	13	0.2%
6	7	0.1%
7	5	0.1%
8	8	0.1%
9	3	0.1%

Value	Count	Frequency (%)
22	1	< 0.1%
17	2	< 0.1%
16	1	< 0.1%
15	2	< 0.1%
13	2	< 0.1%
12	1	< 0.1%
11	1	< 0.1%
10	3	0.1%
9	3	0.1%
8	8	0.1%

prev_stk
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	12
Distinct (%)	0.2%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.05176517255

Minimum	0
Maximum	18
Zeros	4889
Zeros (%)	84.3%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	18
Range	18
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5002457817
Coefficient of variation (CV)	9.663751844
Kurtosis	590.7088703
Mean	0.05176517255
Median Absolute Deviation (MAD)	0
Skewness	21.26554203
Sum	261
Variance	0.2502458421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	4889	84.3%
1	132	2.3%
7	3	0.1%
4	3	0.1%
3	3	0.1%
2	3	0.1%
5	3	0.1%
8	2	< 0.1%
6	1	< 0.1%
15	1	< 0.1%
Other values (2)	2	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4889	84.3%
1	132	2.3%
2	3	0.1%
3	3	0.1%
4	3	0.1%
5	3	0.1%
6	1	< 0.1%
7	3	0.1%
8	2	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
18	1	< 0.1%
15	1	< 0.1%
11	1	< 0.1%
8	2	< 0.1%
7	3	0.1%
6	1	< 0.1%
5	3	0.1%
4	3	0.1%
3	3	0.1%
2	3	0.1%

mi
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4682
1.0	299
2.0	47
3.0	9
4.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4682	80.7%
1.0	299	5.2%
2.0	47	0.8%
3.0	9	0.2%
4.0	5	0.1%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4682	92.9%
1.0	299	5.9%
2.0	47	0.9%
3.0	9	0.2%
4.0	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9724	64.3%
.	5042	33.3%
1	299	2.0%
2	47	0.3%
3	9	0.1%
4	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9724	96.4%
1	299	3.0%
2	47	0.5%
3	9	0.1%
4	5	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9724	64.3%
.	5042	33.3%
1	299	2.0%
2	47	0.3%
3	9	0.1%
4	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9724	64.3%
.	5042	33.3%
1	299	2.0%
2	47	0.3%
3	9	0.1%
4	5	< 0.1%

mip
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.2181673939

Minimum	0
Maximum	6
Zeros	4327
Zeros (%)	74.6%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6238682857
Coefficient of variation (CV)	2.85958536
Kurtosis	15.67355463
Mean	0.2181673939
Median Absolute Deviation (MAD)	0
Skewness	3.61692238
Sum	1100
Variance	0.3892116379
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	4327	74.6%
1	447	7.7%
2	190	3.3%
3	48	0.8%
4	22	0.4%
5	7	0.1%
6	1	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4327	74.6%
1	447	7.7%
2	190	3.3%
3	48	0.8%
4	22	0.4%
5	7	0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
5	7	0.1%
4	22	0.4%
3	48	0.8%
2	190	3.3%
1	447	7.7%
0	4327	74.6%

mi_fatal
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4996
1.0	46

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4996	86.1%
1.0	46	0.8%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4996	99.1%
1.0	46	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	10038	66.4%
.	5042	33.3%
1	46	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10038	99.5%
1	46	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10038	66.4%
.	5042	33.3%
1	46	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10038	66.4%
.	5042	33.3%
1	46	0.3%

stroke
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	14
Distinct (%)	0.3%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.107893693

Minimum	0
Maximum	17
Zeros	4755
Zeros (%)	82.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	17
Range	17
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.659014345
Coefficient of variation (CV)	6.107996926
Kurtosis	193.5207272
Mean	0.107893693
Median Absolute Deviation (MAD)	0
Skewness	11.85057026
Sum	544
Variance	0.434299907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	4755	82.0%
1	199	3.4%
2	40	0.7%
3	14	0.2%
4	11	0.2%
5	6	0.1%
7	4	0.1%
8	3	0.1%
6	3	0.1%
9	2	< 0.1%
Other values (4)	5	0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4755	82.0%
1	199	3.4%
2	40	0.7%
3	14	0.2%
4	11	0.2%
5	6	0.1%
6	3	0.1%
7	4	0.1%
8	3	0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
17	1	< 0.1%
13	1	< 0.1%
11	1	< 0.1%
10	2	< 0.1%
9	2	< 0.1%
8	3	0.1%
7	4	0.1%
6	3	0.1%
5	6	0.1%
4	11	0.2%

stk_fatal
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	5005
1.0	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5005	86.3%
1.0	37	0.6%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5005	99.3%
1.0	37	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	10047	66.4%
.	5042	33.3%
1	37	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10047	99.6%
1	37	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10047	66.4%
.	5042	33.3%
1	37	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10047	66.4%
.	5042	33.3%
1	37	0.2%

chd_death
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4807
1.0	235

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4807	82.9%
1.0	235	4.1%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4807	95.3%
1.0	235	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	9849	65.1%
.	5042	33.3%
1	235	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9849	97.7%
1	235	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9849	65.1%
.	5042	33.3%
1	235	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9849	65.1%
.	5042	33.3%
1	235	1.6%

cvd_death
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4683
1.0	359

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4683	80.7%
1.0	359	6.2%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4683	92.9%
1.0	359	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	9725	64.3%
.	5042	33.3%
1	359	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9725	96.4%
1	359	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9725	64.3%
.	5042	33.3%
1	359	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9725	64.3%
.	5042	33.3%
1	359	2.4%

angina
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	8
Distinct (%)	0.2%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.4821499405

Minimum	0
Maximum	7
Zeros	2842
Zeros (%)	49.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.6431075207
Coefficient of variation (CV)	1.33383304
Kurtosis	13.75795494
Mean	0.4821499405
Median Absolute Deviation (MAD)	0
Skewness	2.365310132
Sum	2431
Variance	0.4135872832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	2842	49.0%
1	2072	35.7%
2	71	1.2%
3	33	0.6%
4	11	0.2%
5	6	0.1%
6	5	0.1%
7	2	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2842	49.0%
1	2072	35.7%
2	71	1.2%
3	33	0.6%
4	11	0.2%
5	6	0.1%
6	5	0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
7	2	< 0.1%
6	5	0.1%
5	6	0.1%
4	11	0.2%
3	33	0.6%
2	71	1.2%
1	2072	35.7%
0	2842	49.0%

revasc_proc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.1241570805

Minimum	0
Maximum	5
Zeros	4549
Zeros (%)	78.4%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4268041784
Coefficient of variation (CV)	3.437614485
Kurtosis	26.61760681
Mean	0.1241570805
Median Absolute Deviation (MAD)	0
Skewness	4.528987552
Sum	626
Variance	0.1821618067
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	4549	78.4%
1	401	6.9%
2	60	1.0%
3	25	0.4%
4	5	0.1%
5	2	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4549	78.4%
1	401	6.9%
2	60	1.0%
3	25	0.4%
4	5	0.1%
5	2	< 0.1%

Value	Count	Frequency (%)
5	2	< 0.1%
4	5	0.1%
3	25	0.4%
2	60	1.0%
1	401	6.9%
0	4549	78.4%

ptca
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.08052360175

Minimum	0
Maximum	5
Zeros	4731
Zeros (%)	81.5%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3521992619
Coefficient of variation (CV)	4.373863741
Kurtosis	38.93747878
Mean	0.08052360175
Median Absolute Deviation (MAD)	0
Skewness	5.588629925
Sum	406
Variance	0.1240443201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	4731	81.5%
1	242	4.2%
2	47	0.8%
3	19	0.3%
4	2	< 0.1%
5	1	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4731	81.5%
1	242	4.2%
2	47	0.8%
3	19	0.3%
4	2	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	2	< 0.1%
3	19	0.3%
2	47	0.8%
1	242	4.2%
0	4731	81.5%

cabg
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4825
1.0	215
2.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4825	83.2%
1.0	215	3.7%
2.0	2	< 0.1%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4825	95.7%
1.0	215	4.3%
2.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	9867	65.2%
.	5042	33.3%
1	215	1.4%
2	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9867	97.8%
1	215	2.1%
2	2	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9867	65.2%
.	5042	33.3%
1	215	1.4%
2	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9867	65.2%
.	5042	33.3%
1	215	1.4%
2	2	< 0.1%

chf
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	0.3%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.2707259024

Minimum	0
Maximum	13
Zeros	4424
Zeros (%)	76.2%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9692207386
Coefficient of variation (CV)	3.580081292
Kurtosis	38.82846414
Mean	0.2707259024
Median Absolute Deviation (MAD)	0
Skewness	5.459797586
Sum	1365
Variance	0.9393888402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	4424	76.2%
1	321	5.5%
2	122	2.1%
3	61	1.1%
4	51	0.9%
5	24	0.4%
6	16	0.3%
7	8	0.1%
9	6	0.1%
8	5	0.1%
Other values (3)	4	0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4424	76.2%
1	321	5.5%
2	122	2.1%
3	61	1.1%
4	51	0.9%
5	24	0.4%
6	16	0.3%
7	8	0.1%
8	5	0.1%
9	6	0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	2	< 0.1%
10	1	< 0.1%
9	6	0.1%
8	5	0.1%
7	8	0.1%
6	16	0.3%
5	24	0.4%
4	51	0.9%
3	61	1.1%

prev_chf
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	760
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.03827846093

Minimum	0
Maximum	7
Zeros	4902
Zeros (%)	84.5%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2808481278
Coefficient of variation (CV)	7.336975443
Kurtosis	220.2350166
Mean	0.03827846093
Median Absolute Deviation (MAD)	0
Skewness	12.44403301
Sum	193
Variance	0.07887567091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	4902	84.5%
1	113	1.9%
2	15	0.3%
3	5	0.1%
4	4	0.1%
7	2	< 0.1%
5	1	< 0.1%
(Missing)	760	13.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4902	84.5%
1	113	1.9%
2	15	0.3%
3	5	0.1%
4	4	0.1%
5	1	< 0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
7	2	< 0.1%
5	1	< 0.1%
4	4	0.1%
3	5	0.1%
2	15	0.3%
1	113	1.9%
0	4902	84.5%

any_chd
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	4249
1.0	793

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4249	73.2%
1.0	793	13.7%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4249	84.3%
1.0	793	15.7%

Most occurring characters

Value	Count	Frequency (%)
0	9291	61.4%
.	5042	33.3%
1	793	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9291	92.1%
1	793	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9291	61.4%
.	5042	33.3%
1	793	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9291	61.4%
.	5042	33.3%
1	793	5.2%

any_cvd
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	760
Missing (%)	13.1%
Memory size	325.2 KiB

0.0	3846
1.0	1196

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15126
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	3846	66.3%
1.0	1196	20.6%
(Missing)	760	13.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	3846	76.3%
1.0	1196	23.7%

Most occurring characters

Value	Count	Frequency (%)
0	8888	58.8%
.	5042	33.3%
1	1196	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10084	66.7%
Other Punctuation	5042	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8888	88.1%
1	1196	11.9%

Other Punctuation

Value	Count	Frequency (%)
.	5042	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8888	58.8%
.	5042	33.3%
1	1196	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8888	58.8%
.	5042	33.3%
1	1196	7.9%

prev_revpro
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.2%
Missing	2658
Missing (%)	45.8%
Memory size	288.2 KiB

0.0	3002
1.0	134
2.0	6
3.0	1
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9432
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	3002	51.7%
1.0	134	2.3%
2.0	6	0.1%
3.0	1	< 0.1%
4.0	1	< 0.1%
(Missing)	2658	45.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	3002	95.5%
1.0	134	4.3%
2.0	6	0.2%
3.0	1	< 0.1%
4.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	6146	65.2%
.	3144	33.3%
1	134	1.4%
2	6	0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6288	66.7%
Other Punctuation	3144	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6146	97.7%
1	134	2.1%
2	6	0.1%
3	1	< 0.1%
4	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	3144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9432	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6146	65.2%
.	3144	33.3%
1	134	1.4%
2	6	0.1%
3	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9432	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6146	65.2%
.	3144	33.3%
1	134	1.4%
2	6	0.1%
3	1	< 0.1%
4	1	< 0.1%

mi_death
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	4573
Missing (%)	78.8%
Memory size	250.8 KiB

0.0	1229

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3687
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1229	21.2%
(Missing)	4573	78.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1229	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2458	66.7%
.	1229	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2458	66.7%
Other Punctuation	1229	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2458	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1229	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2458	66.7%
.	1229	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2458	66.7%
.	1229	33.3%

prev_ang
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	8
Distinct (%)	0.4%
Missing	3586
Missing (%)	61.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.1371841155

Minimum	0
Maximum	8
Zeros	2004
Zeros (%)	34.5%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5179818577
Coefficient of variation (CV)	3.775815121
Kurtosis	57.29780859
Mean	0.1371841155
Median Absolute Deviation (MAD)	0
Skewness	6.202741653
Sum	304
Variance	0.2683052049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	2004	34.5%
1	158	2.7%
2	33	0.6%
3	14	0.2%
5	3	0.1%
4	2	< 0.1%
8	1	< 0.1%
7	1	< 0.1%
(Missing)	3586	61.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2004	34.5%
1	158	2.7%
2	33	0.6%
3	14	0.2%
4	2	< 0.1%
5	3	0.1%
7	1	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	1	< 0.1%
5	3	0.1%
4	2	< 0.1%
3	14	0.2%
2	33	0.6%
1	158	2.7%
0	2004	34.5%

mi_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	345
Distinct (%)	95.8%
Missing	5442
Missing (%)	93.8%
Infinite	0
Infinite (%)	0.0%
Mean	2066.708333

Minimum	19
Maximum	4747
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	19
5-th percentile	312.05
Q1	1103.5
median	1985
Q3	3000.5
95-th percentile	4126.15
Maximum	4747
Range	4728
Interquartile range (IQR)	1897

Descriptive statistics

Standard deviation	1197.181305
Coefficient of variation (CV)	0.5792695976
Kurtosis	-0.96217422
Mean	2066.708333
Median Absolute Deviation (MAD)	904
Skewness	0.1803956975
Sum	744015
Variance	1433243.076
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2687	2	< 0.1%
3382	2	< 0.1%
3424	2	< 0.1%
567	2	< 0.1%
1857	2	< 0.1%
1190	2	< 0.1%
3065	2	< 0.1%
2453	2	< 0.1%
2998	2	< 0.1%
2351	2	< 0.1%
Other values (335)	340	5.9%
(Missing)	5442	93.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	1	< 0.1%
21	1	< 0.1%
31	1	< 0.1%
62	1	< 0.1%
83	1	< 0.1%
90	1	< 0.1%
119	1	< 0.1%
120	1	< 0.1%
144	1	< 0.1%
154	1	< 0.1%

Value	Count	Frequency (%)
4747	1	< 0.1%
4615	1	< 0.1%
4473	1	< 0.1%
4422	1	< 0.1%
4368	1	< 0.1%
4366	1	< 0.1%
4322	1	< 0.1%
4320	1	< 0.1%
4316	1	< 0.1%
4277	1	< 0.1%

mip_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	337
Distinct (%)	94.9%
Missing	5447
Missing (%)	93.9%
Infinite	0
Infinite (%)	0.0%
Mean	2049.214085

Minimum	19
Maximum	5208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	19
5-th percentile	183.2
Q1	963.5
median	1970
Q3	2993.5
95-th percentile	4143.3
Maximum	5208
Range	5189
Interquartile range (IQR)	2030

Descriptive statistics

Standard deviation	1253.70312
Coefficient of variation (CV)	0.6117970443
Kurtosis	-0.981290789
Mean	2049.214085
Median Absolute Deviation (MAD)	1013
Skewness	0.1987595451
Sum	727471
Variance	1571771.513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1795	2	< 0.1%
1607	2	< 0.1%
838	2	< 0.1%
1282	2	< 0.1%
3800	2	< 0.1%
1555	2	< 0.1%
1767	2	< 0.1%
3889	2	< 0.1%
1267	2	< 0.1%
1394	2	< 0.1%
Other values (327)	335	5.8%
(Missing)	5447	93.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	1	< 0.1%
21	1	< 0.1%
36	1	< 0.1%
41	1	< 0.1%
43	1	< 0.1%
44	1	< 0.1%
64	1	< 0.1%
90	1	< 0.1%
111	1	< 0.1%
112	1	< 0.1%

Value	Count	Frequency (%)
5208	1	< 0.1%
5006	1	< 0.1%
4668	1	< 0.1%
4615	1	< 0.1%
4578	1	< 0.1%
4557	1	< 0.1%
4520	1	< 0.1%
4508	1	< 0.1%
4320	1	< 0.1%
4262	1	< 0.1%

stk_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	282
Distinct (%)	98.3%
Missing	5515
Missing (%)	95.1%
Infinite	0
Infinite (%)	0.0%
Mean	1770.132404

Minimum	4
Maximum	5154
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	4
5-th percentile	143.5
Q1	670.5
median	1657
Q3	2600
95-th percentile	3879.8
Maximum	5154
Range	5150
Interquartile range (IQR)	1929.5

Descriptive statistics

Standard deviation	1205.190434
Coefficient of variation (CV)	0.6808476198
Kurtosis	-0.7635456918
Mean	1770.132404
Median Absolute Deviation (MAD)	978
Skewness	0.4189553672
Sum	508028
Variance	1452483.982
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38	2	< 0.1%
3334	2	< 0.1%
1565	2	< 0.1%
3065	2	< 0.1%
1266	2	< 0.1%
1608	1	< 0.1%
1046	1	< 0.1%
1292	1	< 0.1%
3956	1	< 0.1%
2115	1	< 0.1%
Other values (272)	272	4.7%
(Missing)	5515	95.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	1	< 0.1%
18	1	< 0.1%
38	2	< 0.1%
39	1	< 0.1%
54	1	< 0.1%
72	1	< 0.1%
74	1	< 0.1%
90	1	< 0.1%
94	1	< 0.1%
98	1	< 0.1%

Value	Count	Frequency (%)
5154	1	< 0.1%
4572	1	< 0.1%
4540	1	< 0.1%
4539	1	< 0.1%
4464	1	< 0.1%
4212	1	< 0.1%
4098	1	< 0.1%
4072	1	< 0.1%
4065	1	< 0.1%
4013	1	< 0.1%

chd_dthdt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	228
Distinct (%)	98.3%
Missing	5570
Missing (%)	96.0%
Infinite	0
Infinite (%)	0.0%
Mean	2441.099138

Minimum	78
Maximum	4491
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	78
5-th percentile	484.05
Q1	1525
median	2607
Q3	3340.25
95-th percentile	4102.45
Maximum	4491
Range	4413
Interquartile range (IQR)	1815.25

Descriptive statistics

Standard deviation	1147.993983
Coefficient of variation (CV)	0.4702774931
Kurtosis	-0.9314860733
Mean	2441.099138
Median Absolute Deviation (MAD)	901
Skewness	-0.2816551793
Sum	566335
Variance	1317890.185
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2910	2	< 0.1%
4366	2	< 0.1%
1497	2	< 0.1%
3335	2	< 0.1%
2486	1	< 0.1%
1687	1	< 0.1%
1948	1	< 0.1%
1391	1	< 0.1%
527	1	< 0.1%
1588	1	< 0.1%
Other values (218)	218	3.8%
(Missing)	5570	96.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
78	1	< 0.1%
85	1	< 0.1%
127	1	< 0.1%
138	1	< 0.1%
162	1	< 0.1%
256	1	< 0.1%
289	1	< 0.1%
348	1	< 0.1%
379	1	< 0.1%
392	1	< 0.1%

Value	Count	Frequency (%)
4491	1	< 0.1%
4410	1	< 0.1%
4380	1	< 0.1%
4366	2	< 0.1%
4260	1	< 0.1%
4251	1	< 0.1%
4236	1	< 0.1%
4222	1	< 0.1%
4177	1	< 0.1%
4158	1	< 0.1%

cvd_dthdt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	338
Distinct (%)	95.2%
Missing	5447
Missing (%)	93.9%
Infinite	0
Infinite (%)	0.0%
Mean	2495.678873

Minimum	7
Maximum	4758
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	7
5-th percentile	445.8
Q1	1546
median	2622
Q3	3486.5
95-th percentile	4240.5
Maximum	4758
Range	4751
Interquartile range (IQR)	1940.5

Descriptive statistics

Standard deviation	1200.61071
Coefficient of variation (CV)	0.4810757999
Kurtosis	-0.9770704665
Mean	2495.678873
Median Absolute Deviation (MAD)	954
Skewness	-0.2434691946
Sum	885966
Variance	1441466.077
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1507	2	< 0.1%
4102	2	< 0.1%
3649	2	< 0.1%
1044	2	< 0.1%
4366	2	< 0.1%
1327	2	< 0.1%
1497	2	< 0.1%
3150	2	< 0.1%
3335	2	< 0.1%
599	2	< 0.1%
Other values (328)	335	5.8%
(Missing)	5447	93.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	1	< 0.1%
78	1	< 0.1%
85	1	< 0.1%
99	1	< 0.1%
127	1	< 0.1%
135	1	< 0.1%
138	1	< 0.1%
142	1	< 0.1%
162	1	< 0.1%
256	1	< 0.1%

Value	Count	Frequency (%)
4758	1	< 0.1%
4752	1	< 0.1%
4606	1	< 0.1%
4500	1	< 0.1%
4492	1	< 0.1%
4491	1	< 0.1%
4476	1	< 0.1%
4410	1	< 0.1%
4401	1	< 0.1%
4380	1	< 0.1%

ang_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	350
Distinct (%)	97.2%
Missing	5442
Missing (%)	93.8%
Infinite	0
Infinite (%)	0.0%
Mean	1642.011111

Minimum	21
Maximum	4760
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	21
5-th percentile	151.35
Q1	666.25
median	1390.5
Q3	2452.25
95-th percentile	3944.15
Maximum	4760
Range	4739
Interquartile range (IQR)	1786

Descriptive statistics

Standard deviation	1191.529833
Coefficient of variation (CV)	0.7256527223
Kurtosis	-0.6098877187
Mean	1642.011111
Median Absolute Deviation (MAD)	877.5
Skewness	0.6293718335
Sum	591124
Variance	1419743.342
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
266	2	< 0.1%
1190	2	< 0.1%
390	2	< 0.1%
1857	2	< 0.1%
305	2	< 0.1%
828	2	< 0.1%
539	2	< 0.1%
2190	2	< 0.1%
2012	2	< 0.1%
419	2	< 0.1%
Other values (340)	340	5.9%
(Missing)	5442	93.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	1	< 0.1%
31	1	< 0.1%
36	1	< 0.1%
42	1	< 0.1%
50	1	< 0.1%
52	1	< 0.1%
54	1	< 0.1%
58	1	< 0.1%
62	1	< 0.1%
66	1	< 0.1%

Value	Count	Frequency (%)
4760	1	< 0.1%
4680	1	< 0.1%
4564	1	< 0.1%
4368	1	< 0.1%
4341	1	< 0.1%
4316	1	< 0.1%
4266	1	< 0.1%
4212	1	< 0.1%
4148	1	< 0.1%
4109	1	< 0.1%

revpro_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	463
Distinct (%)	93.9%
Missing	5309
Missing (%)	91.5%
Infinite	0
Infinite (%)	0.0%
Mean	1953.841785

Minimum	21
Maximum	5231
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	21
5-th percentile	245.8
Q1	910
median	1789
Q3	2855
95-th percentile	4143.4
Maximum	5231
Range	5210
Interquartile range (IQR)	1945

Descriptive statistics

Standard deviation	1238.336607
Coefficient of variation (CV)	0.6337957436
Kurtosis	-0.817048814
Mean	1953.841785
Median Absolute Deviation (MAD)	961
Skewness	0.3880846214
Sum	963244
Variance	1533477.552
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
978	3	0.1%
3889	3	0.1%
1555	3	0.1%
404	2	< 0.1%
1925	2	< 0.1%
3701	2	< 0.1%
2190	2	< 0.1%
1408	2	< 0.1%
2482	2	< 0.1%
36	2	< 0.1%
Other values (453)	470	8.1%
(Missing)	5309	91.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	1	< 0.1%
36	2	< 0.1%
41	1	< 0.1%
43	1	< 0.1%
44	1	< 0.1%
64	1	< 0.1%
96	1	< 0.1%
108	1	< 0.1%
111	1	< 0.1%
112	1	< 0.1%

Value	Count	Frequency (%)
5231	1	< 0.1%
5208	1	< 0.1%
5006	1	< 0.1%
4748	1	< 0.1%
4668	1	< 0.1%
4644	1	< 0.1%
4613	1	< 0.1%
4578	1	< 0.1%
4557	1	< 0.1%
4520	1	< 0.1%

ptca_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	295
Distinct (%)	94.9%
Missing	5491
Missing (%)	94.6%
Infinite	0
Infinite (%)	0.0%
Mean	2038.289389

Minimum	21
Maximum	5231
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	21
5-th percentile	240
Q1	935.5
median	1915
Q3	3010.5
95-th percentile	4210.5
Maximum	5231
Range	5210
Interquartile range (IQR)	2075

Descriptive statistics

Standard deviation	1256.72429
Coefficient of variation (CV)	0.6165583244
Kurtosis	-0.9303607187
Mean	2038.289389
Median Absolute Deviation (MAD)	1037
Skewness	0.2631229462
Sum	633908
Variance	1579355.942
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1408	2	< 0.1%
3798	2	< 0.1%
837	2	< 0.1%
1740	2	< 0.1%
1554	2	< 0.1%
1453	2	< 0.1%
2050	2	< 0.1%
763	2	< 0.1%
2998	2	< 0.1%
1419	2	< 0.1%
Other values (285)	291	5.0%
(Missing)	5491	94.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	1	< 0.1%
33	1	< 0.1%
36	1	< 0.1%
37	1	< 0.1%
96	1	< 0.1%
108	1	< 0.1%
111	1	< 0.1%
128	1	< 0.1%
129	1	< 0.1%
134	1	< 0.1%

Value	Count	Frequency (%)
5231	1	< 0.1%
5006	1	< 0.1%
4748	1	< 0.1%
4668	1	< 0.1%
4644	1	< 0.1%
4577	1	< 0.1%
4519	1	< 0.1%
4507	1	< 0.1%
4439	1	< 0.1%
4380	1	< 0.1%

cabg_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	209
Distinct (%)	96.3%
Missing	5585
Missing (%)	96.3%
Infinite	0
Infinite (%)	0.0%
Mean	1914.073733

Minimum	36
Maximum	5208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	36
5-th percentile	272
Q1	881
median	1792
Q3	2702
95-th percentile	4098.4
Maximum	5208
Range	5172
Interquartile range (IQR)	1821

Descriptive statistics

Standard deviation	1224.567147
Coefficient of variation (CV)	0.639770102
Kurtosis	-0.7816124681
Mean	1914.073733
Median Absolute Deviation (MAD)	911
Skewness	0.4320163219
Sum	415354
Variance	1499564.698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1190	2	< 0.1%
406	2	< 0.1%
2190	2	< 0.1%
365	2	< 0.1%
3334	2	< 0.1%
2612	2	< 0.1%
1113	2	< 0.1%
224	2	< 0.1%
3178	1	< 0.1%
1786	1	< 0.1%
Other values (199)	199	3.4%
(Missing)	5585	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36	1	< 0.1%
37	1	< 0.1%
64	1	< 0.1%
105	1	< 0.1%
152	1	< 0.1%
160	1	< 0.1%
179	1	< 0.1%
224	2	< 0.1%
232	1	< 0.1%
268	1	< 0.1%

Value	Count	Frequency (%)
5208	1	< 0.1%
4669	1	< 0.1%
4613	1	< 0.1%
4433	1	< 0.1%
4428	1	< 0.1%
4280	1	< 0.1%
4152	1	< 0.1%
4150	1	< 0.1%
4144	1	< 0.1%
4132	1	< 0.1%

chf_date
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	571
Distinct (%)	92.4%
Missing	5184
Missing (%)	89.3%
Infinite	0
Infinite (%)	0.0%
Mean	2020.166667

Minimum	9
Maximum	4608
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	45.5 KiB

Quantile statistics

Minimum	9
5-th percentile	164
Q1	948
median	1929
Q3	3065.5
95-th percentile	4092.4
Maximum	4608
Range	4599
Interquartile range (IQR)	2117.5

Descriptive statistics

Standard deviation	1242.407817
Coefficient of variation (CV)	0.6150026318
Kurtosis	-1.095747762
Mean	2020.166667
Median Absolute Deviation (MAD)	1038.5
Skewness	0.1673167865
Sum	1248463
Variance	1543577.183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2374	3	0.1%
164	3	0.1%
1141	3	0.1%
2856	3	0.1%
2453	3	0.1%
686	2	< 0.1%
4148	2	< 0.1%
696	2	< 0.1%
3196	2	< 0.1%
3398	2	< 0.1%
Other values (561)	593	10.2%
(Missing)	5184	89.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	< 0.1%
15	1	< 0.1%
19	2	< 0.1%
22	1	< 0.1%
23	1	< 0.1%
32	1	< 0.1%
34	1	< 0.1%
50	1	< 0.1%
55	1	< 0.1%
60	1	< 0.1%

Value	Count	Frequency (%)
4608	1	< 0.1%
4580	1	< 0.1%
4499	1	< 0.1%
4484	1	< 0.1%
4454	1	< 0.1%
4438	1	< 0.1%
4402	1	< 0.1%
4370	1	< 0.1%
4368	1	< 0.1%
4363	1	< 0.1%

afibprevalent
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	2866
Missing (%)	49.4%
Memory size	284.1 KiB

0.0	2890
1.0	46

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	8808
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	2890	49.8%
1.0	46	0.8%
(Missing)	2866	49.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	2890	98.4%
1.0	46	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	5826	66.1%
.	2936	33.3%
1	46	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5872	66.7%
Other Punctuation	2936	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5826	99.2%
1	46	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	2936	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8808	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5826	66.1%
.	2936	33.3%
1	46	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5826	66.1%
.	2936	33.3%
1	46	0.5%

afibincident
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	2912
Missing (%)	50.2%
Memory size	283.2 KiB

0.0	2558
1.0	332

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	8670
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	2558	44.1%
1.0	332	5.7%
(Missing)	2912	50.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	2558	88.5%
1.0	332	11.5%

Most occurring characters

Value	Count	Frequency (%)
0	5448	62.8%
.	2890	33.3%
1	332	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5780	66.7%
Other Punctuation	2890	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5448	94.3%
1	332	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	2890	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8670	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5448	62.8%
.	2890	33.3%
1	332	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8670	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5448	62.8%
.	2890	33.3%
1	332	3.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	nsrrid	vital	prev_mi	prev_mip	prev_stk	mi	mip	mi_fatal	stroke	stk_fatal	chd_death	cvd_death	angina	revasc_proc	ptca	cabg	chf	prev_chf	any_chd	any_cvd	prev_revpro	mi_death	prev_ang	mi_date	mip_date	stk_date	chd_dthdt	cvd_dthdt	ang_date	revpro_date	ptca_date	cabg_date	chf_date	afibprevalent	afibincident
0	200001	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	200002	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	200003	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	200004	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	200005	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	200006	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	200007	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	200008	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	200009	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	200010	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	nsrrid	vital	angina	mi_death	prev_ang	mi_date	mip_date	stk_date	chd_dthdt	cvd_dthdt	ang_date	revpro_date	ptca_date	cabg_date	chf_date	afibprevalent	afibincident
5792	205795	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5793	205796	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5794	205797	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5795	205798	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5796	205799	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5797	205800	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5798	205801	0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	0.0
5799	205802	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5800	205803	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5801	205804	1	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts